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安徽省接受抗病毒治疗HIV/AIDS死亡的影响因素
引用本文:戴色莺,刘爱文,沈月兰,程晓莉,张进,吴建军,吴家兵,邢辉,阮玉华.安徽省接受抗病毒治疗HIV/AIDS死亡的影响因素[J].中华疾病控制杂志,2022,26(12):1379-1383.
作者姓名:戴色莺  刘爱文  沈月兰  程晓莉  张进  吴建军  吴家兵  邢辉  阮玉华
作者单位:1.230601 合肥,安徽省疾病预防控制中心艾滋病防治科
基金项目:国家科技重大专项2017ZX10201101
摘    要:  目的  了解安徽省接受抗病毒治疗HIV感染者和AIDS病人(简称HIV/AIDS)死亡的影响因素。  方法  采用1∶2匹配病例对照研究方法,回顾性收集2010―2019年安徽省接受抗病毒治疗HIV/AIDS的相关信息,采用条件logistic回归分析模型分析HIV/AIDS死亡的影响因素。  结果  共调查4 347例HIV/AIDS,其中死亡组1 449例,对照组2 898例。多因素条件logistic回归分析模型分析显示,影响抗病毒治疗HIV/AIDS死亡的危险因素中,发生耐药、最近一次病毒载量≥1 000 copies/mL且未检测耐药、最近一次病毒载量无结果且未检测耐药分别是不耐药的1.75倍(95% CI: 1.22~2.52, P=0.003)、2.26倍(95% CI: 1.69~3.03, P<0.001)、35.27倍(95% CI: 26.54~46.87, P<0.001);30~50岁和≥50岁分别是18~30岁的1.40倍(95% CI: 1.01~1.94, P=0.042)和4.02倍(95% CI: 2.80~5.77, P<0.001);男性是女性的1.37倍(95% CI: 1.08~1.74, P=0.011);注射吸毒传播途径是异性传播途径的6.27倍(95% CI: 2.00~19.61, P=0.002);治疗前WHO临床分期为Ⅲ期/Ⅳ期是Ⅰ期/Ⅱ期的1.41倍(95% CI: 1.12~1.76, P=0.007);治疗前CD4+T淋巴细胞计数<200个/μL是≥350个/μL的1.95倍(95% CI: 1.50~2.54, P<0.001)。  结论  耐药、耐药检测、年龄、性别、传播途径、治疗前WHO临床分期、治疗前CD4+T淋巴细胞计数是安徽省接受抗病毒治疗HIV/AIDS发生死亡的影响因素。加强HIV/AIDS的耐药监测对减少艾滋病死亡具有重要意义,应对接受抗病毒治疗的HIV/AIDS及时进行病毒载量和耐药检测。

关 键 词:艾滋病病毒    死亡    影响因素    病例对照研究
收稿时间:2021-09-24

Influencing factors on the death of HIV/AIDS patients receiving antiretroviral therapy in Anhui Province
Institution:1.Department of AIDS prevention, Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China2.Center Laboratory of HIV Molecular and Immunology, Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China3.National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
Abstract:  Objective  To understand the influencing factors on the death of HIV/AIDS patients receiving antiretroviral therapy in Anhui Province.  Methods  A 1 to 2 matched case-control study was conducted to collect the information of HIV/AIDS patients who received antiretroviral therapy in Anhui Province from 2010 to 2019. The conditional logistic regression was used to analyze the risk factors on the death of HIV/AIDS patients.  Results  A total of 4 347 HIV/AIDS patients were investigated, with 1 449 cases in the death group and 2 898 cases in the control group. The multivariate conditional logistic regression result showed that among the death risk factors, drug resistance was 1.75 times (95% CI: 1.22-2.52, P=0.003) than that of non-drug resistance; the latest viral load ≥1 000 copies/mL and non-drug resistance tested results were 2.26 times (95% CI: 1.69-3.03, P < 0.001) than that of non-drug resistance; non-viral load and non-drug resistance tested results were 35.27 times (95% CI: 26.54-46.87, P < 0.001) than that of non-drug resistance; patients who age 30-49 years old was 1.40 times (95% CI: 1.01-1.94, P=0.042) than that of the 18-29 years old, and those age ≥ 50 years old was 4.02 times (95% CI: 2.80-5.77, P < 0.001) that of 18-29 years old; male was 1.37 times (95% CI: 1.08-1.74, P=0.011) than that of female, the transmission route of injecting drug use was 6.27 times (95% CI: 2.00-19.61, P=0.002) than that of heterosexual transmission; WHO clinical stage Ⅲ/Ⅳ before treatment was 1.41 times (95% CI: 1.12-1.76, P=0.007) than that of stage Ⅰ/Ⅱ; CD4+T lymphocyte count < 200 cells/μL before treatment was 1.95 times (95% CI: 1.50-2.54, P < 0.001) that of CD4+≥350 cells/μL before treatment.  Conclusions  Drug resistance, drug resistance test after antiretroviral therapy, age, gender, transmission route, WHO clinical stage before treatment, and CD4+T lymphocyte counts before treatment were the influencing factors of HIV/AIDS death in Anhui Province. Strengthening the monitoring of drug resistance for HIV/AIDS patients is important for reducing AIDS deaths. It is necessary to test viral load and drug resistance in time for HIV/AIDS patients receiving antiretroviral therapy.
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